Multi-state models for clustered duration data: an application to workplace effects on individual sickness absenteeism
AbstractIn this paper we specify and estimate three state duration models of work, sickness and exit from the job to explain individual absenteeism behaviour of primary school teachers. There is a large variation of sickness absenteeism records across schools and absenteeism records of workers within a school appear to be related. This clustering of individual absenteeism data may to a large extend be caused by workplace effects. Since it will be difficult to fully capture workplace effects with observed characteristics of the workplace, we also account for unobserved workplace effects in the models. The most flexible specification allows for non-parametric baseline hazards that differ per exit rate and workplace. A stratified partial likelihood approach is used to estimate the regression coefficients of this model. Conditional on these estimates we recover fixed unobserved workplace effects and semi-parametric baseline hazards in order to detect the causes for the observed variation and clustering in the data.
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Bibliographic InfoPaper provided by VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics in its series Serie Research Memoranda with number 0008.
Date of creation: 1998
Date of revision:
Multi-state duration models; clustered duration data; fixed effects; Concentrated likelihood; stratified Partial Likelihood; Sickness Absenteeism .;
Find related papers by JEL classification:
- J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy
- M14 - Business Administration and Business Economics; Marketing; Accounting - - Business Administration - - - Corporate Culture; Diversity; Social Responsibility
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